Compressing model weights to lower numerical precision (INT8, FP4, INT4) so inference costs less memory and runs faster, with minimal quality loss.
Primary AI lifecycle stage: serving infrastructure.
As of today, 69 active AI roles across 25 companies in our index reference Quantization. Hiring concentrates at the serving infrastructure (84%) and post-training (12%) stages. Most common sectors: Semiconductors, Big Tech, Robotics.
Compressing model weights to lower numerical precision (INT8, FP4, INT4) so inference costs less memory and runs faster, with minimal quality loss. Primary AI lifecycle stage: serving infrastructure.
69 active AI roles across 25 companies in our index reference Quantization as of today.
The companies with the most active Quantization listings are: NVIDIA (16 roles), Amazon (6 roles), ByteDance (5 roles), Intel (5 roles), Rivian (5 roles).
Quantization primarily belongs to the serving infrastructure stage of the AI lifecycle. In current hiring, Quantization roles concentrate at: serving infrastructure (84%), post-training (12%).
The sectors with the most active Quantization hiring are: Semiconductors, Big Tech, Robotics.
4 AI roles tagged quantization.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Together AI | Forward Deployed Engineer (Inference & Post-Training) | Data AI | 9 | Inference infra · Model serving · Fine-tuning · RL post-training |
| Databricks | Staff Software Engineer - GenAI Performance and Kernel | Data AI | 9 | Inference infra · Model serving |
| Baseten | Software Engineer - GPU Kernels | Data AI | 9 | Inference infra · Model serving |
| Baseten | Software Engineer - Model Performance | Data AI | 8 | Inference infra · Model serving · Fine-tuning |